World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
20826
World Ranking
856
National Ranking
39

Computer Science

D-Index
74
Citations
23299
World Ranking
1486
National Ranking
85

Kin K. Leung publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Kin K. Leung sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 387 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Kin K. Leung D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Kin K. Leung sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Kin K. Leung is affiliated with Imperial College London in the United Kingdom and specializes in the field of computer science, with a focus on computer networks and communications, artificial intelligence, and related subfields. Their research spans a range of topics including privacy-preserving technologies in data, mobile crowdsensing and crowdsourcing, IoT and edge/fog computing, software-defined networks and 5G, optimization and search problems, network security and intrusion detection, and stochastic gradient optimization techniques.

The scientist's recent publications cover various aspects of federated learning, resource management, and reinforcement learning applied to edge computing and wireless communications. Notable papers include:

  • Model Pruning Enables Efficient Federated Learning on Edge Devices, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing, 2021, IEEE Transactions on Wireless Communications
  • Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning, 2021, IEEE Transactions on Mobile Computing
  • Ensuring Threshold AoI for UAV-Assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning With Transformer, 2023, IEEE/ACM Transactions on Networking
  • Reconfigurable Intelligent Surface for Low-Latency Edge Computing in 6G, 2021, IEEE Wireless Communications

Their frequent co-authors include Don Towsley, Ananthram Swami, Liang Ma, Prithwish Basu, and Ting He. Collaboration with these researchers has contributed to multiple interdisciplinary projects bridging computing and networking technologies.

Kin K. Leung publishes regularly in a variety of venues, with a significant number of works appearing in arXiv (Cornell University). They have also published multiple papers in IEEE/ACM Transactions on Networking, IEEE Wireless Communications, IEEE Transactions on Network and Service Management, and the MILCOM 2021 - 2021 IEEE Military Communications Conference.

In their main fields of study, Kin K. Leung has contributed a total of 74 publications primarily in computer science, with extensive work in embedded subfields such as computer networks and communications (30 publications), artificial intelligence (27 publications), electrical and electronic engineering (8 publications), information systems (7 publications), and computer science applications (5 publications).

Best Publications

  • A Survey of Indoor Localization Systems and Technologies

    Faheem Zafari;Athanasios Gkelias;Kin K. Leung

  • Adaptive Federated Learning in Resource Constrained Edge Computing Systems

    Shiqiang Wang;Tiffany Tuor;Theodoros Salonidis;Kin K. Leung

  • A survey on the ietf protocol suite for the internet of things: standards, challenges, and opportunities

    Zhengguo Sheng;Shusen Yang;Yifan Yu;Athanasios Vasilakos

  • MAC Essentials for Wireless Sensor Networks

    Abdelmalik Bachir;Mischa Dohler;Thomas Watteyne;Kin K Leung

  • When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning

    Shiqiang Wang;Tiffany Tuor;Theodoros Salonidis;Kin K. Leung

  • Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs

    Shiqiang Wang;Rahul Urgaonkar;Ting He;Kevin Chan

  • Live Service Migration in Mobile Edge Clouds

    Andrew Machen;Shiqiang Wang;Kin K. Leung;Bong Jun Ko

  • Traffic models for wireless communication networks

    K.K. Leung;W.A. Massey;W. Whitt

  • Dynamic service migration in mobile edge-clouds

    Shiqiang Wang;Rahul Urgaonkar;Murtaza Zafer;Ting He

  • Systematic Codebook Designs for Quantized Beamforming in Correlated MIMO Channels

    V. Raghavan;R.W. Heath

  • Dynamic service migration and workload scheduling in edge-clouds

    Rahul Urgaonkar;Shiqiang Wang;Ting He;Murtaza Zafer

  • Context-Awareness for Mobile Sensing: A Survey and Future Directions

    Ozgur Yurur;Chi Harold Liu;Zhengguo Sheng;Victor C. M. Leung

  • Wireless Mesh Networks: Architectures and Protocols

    Ekram Hossain;Kin Leung

  • Method for called party control of telecommunications network services

    Kin K. Leung;Gabriel Gary Schlanger

  • Energy-Efficient Radio Resource Allocation for Federated Edge Learning

    Qunsong Zeng;Yuqing Du;Kaibin Huang;Kin K. Leung

  • Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process

    Shiqiang Wang;Rahul Urgaonkar;Murtaza Zafer;Ting He

  • Conditional electronic coupon distribution method and system

    Kin K. Leung;Hui Luo;Nemmara K. Shankaranarayanan

  • ESTIMATION AND REPORT SYSTEM FOR TRAFFIC INFORMATION

    Maaku Jiefurii Fuoradaaru;Shierii Bii Goorudoman;Kin Kee Reungu;Izuhaku Ronen

  • Frequency assignment for multi-cell IEEE 802.11 wireless networks

    Byoung-Jo J. Kim;Kin K Leung

  • Efficiently providing multiple grades of service with protection against overloads in shared resources

    Gagan L. Choudhury;Kin K. Leung;Ward Whitt

  • Energy-Efficient Radio Resource Allocation for Federated Edge Learning

    Qunsong Zeng;Yuqing Du;Kin K. Leung;Kaibin Huang

Frequent Co-Authors

Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Don Towsley
Don Towsley University of Massachusetts Amherst
Shiqiang Wang
Shiqiang Wang University of Exeter
Chi Harold Liu
Chi Harold Liu Beijing Institute of Technology
Dennis Goeckel
Dennis Goeckel University of Massachusetts Amherst
Zhengguo Sheng
Zhengguo Sheng University of Sussex
Li-Chun Wang
Li-Chun Wang National Yang Ming Chiao Tung University
Ward Whitt
Ward Whitt Columbia University
Paul Shala Henry
Paul Shala Henry AT&T (United States)

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